Genetics最新文献

{"title":"The Candida Genome Database: annotation and visualization updates.","authors":"Jodi Lew-Smith, Jonathan Binkley, Gavin Sherlock","doi":"10.1093/genetics/iyaf001","DOIUrl":"10.1093/genetics/iyaf001","url":null,"abstract":"<p><p>The Candida Genome Database (CGD; www.candidagenome.org) is unique in being both a model organism database and a fungal pathogen database. As a fungal pathogen database, CGD hosts locus pages for 5 species of the best-studied pathogenic fungi in the Candida group. As a model organism database, the species Candida albicans serves as a model both for other Candida spp. and for non-Candida fungi that form biofilms and undergo routine morphogenic switching from the planktonic form to the filamentous form, which is not done by other model yeasts. As pathogenic Candida species have become increasingly drug resistant, the high lethality of invasive candidiasis in immunocompromised people is increasingly alarming. There is a pressing need for additional research into basic Candida biology, epidemiology and phylogeny, and potential new antifungals. CGD serves the needs of this diverse research community by curating the entire gene-based Candida experimental literature as it is published, extracting, organizing, and standardizing gene annotations. Gene pages were added for the species Candida auris, recent outbreaks of which have been labeled an \"urgent\" threat. Most recently, we have begun linking clinical data on disease to relevant Literature Topics to improve searchability for clinical researchers. Because CGD curates for multiple species and most research focuses on aspects related to pathogenicity, we focus our curation efforts on assigning Literature Topic tags, collecting detailed mutant phenotype data, and assigning controlled Gene Ontology terms with accompanying evidence codes. Our Summary pages for each feature include the primary name and all aliases for that locus, a description of the gene and/or gene product, detailed ortholog information with links, a JBrowse window with a visual view of the gene on its chromosome, summarized phenotype, Gene Ontology, and sequence information, references cited on the summary page itself, and any locus notes. The database serves as a community hub, where we link to various types of reference material of relevance to Candida researchers, including colleague information, news, and notice of upcoming meetings. We routinely survey the community to learn how the field is evolving and how needs may have changed. For example, we asked our users which species we should next add to CGD, and the clear answer was Candida tropicalis. A key future challenge is management of the flood of high-throughput expression data to make it as useful as possible to as many researchers as possible. The central challenge for any community database is to turn data into knowledge, which the community can access, use, and build upon.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A modular system to label endogenous presynaptic proteins using split fluorophores in Caenorhabditis elegans.","authors":"Mizuki Kurashina, Andrew W Snow, Kota Mizumoto","doi":"10.1093/genetics/iyae214","DOIUrl":"10.1093/genetics/iyae214","url":null,"abstract":"<p><p>Visualizing the subcellular localization of presynaptic proteins with fluorescent proteins is a powerful tool to dissect the genetic and molecular mechanisms underlying synapse formation and patterning in live animals. Here, we utilize split green and red fluorescent proteins to visualize the localization of endogenously expressed presynaptic proteins at a single-neuron resolution in Caenorhabditis elegans. By using CRISPR/Cas9 genome editing, we generated a collection of C. elegans strains in which endogenously expressed presynaptic proteins (RAB-3/Rab3, SNG-1/Synaptogyrin, CLA-1/Piccolo, SYD-2/Liprin-α, UNC-10/RIM, RIMB-1/RIM-BP, and ELKS-1/ELKS) are tagged with tandem repeats of GFP11 and/or wrmScarlet11. We show that the expression of GFP1-10 and wrmScarlet1-10 under neuron-specific promoters can robustly label presynaptic proteins in different neuron types. We believe that the combination of our knock-in strains and GFP1-10 and wrmScarlet1-10 plasmids is a versatile modular system useful for neuroscientists to examine the localization of endogenous presynaptic proteins in any neuron type in C. elegans.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912834/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guidelines for gene and genome assembly nomenclature.","authors":"Ethalinda K S Cannon, David C Molik, Adam J Wright, Huiting Zhang, Loren Honaas, Kapeel Chougule, Sarah Dyer","doi":"10.1093/genetics/iyaf006","DOIUrl":"10.1093/genetics/iyaf006","url":null,"abstract":"<p><p>The rapid increase in the number of reference-quality genome assemblies presents significant new opportunities for genomic research. However, the absence of standardized naming conventions for genome assemblies and annotations across datasets creates substantial challenges. Inconsistent naming hinders the identification of correct assemblies, complicates the integration of bioinformatics pipelines, and makes it difficult to link assemblies across multiple resources. To address this, we developed a specification for standardizing the naming of reference genome assemblies, to improve consistency across datasets and facilitate interoperability. This specification was created with FAIR (Findable, Accessible, Interoperable, and Reusable) practices in mind, ensuring that reference assemblies are easier to locate, access, and reuse across research communities. Additionally, it has been designed to comply with primary genomic data repositories, including members of the International Nucleotide Sequence Database Collaboration consortium, ensuring compatibility with widely used databases. While initially tailored to the agricultural genomics community, the specification is adaptable for use across different taxa. Widespread adoption of this standardized nomenclature would streamline assembly management, better enable cross-species analyses, and improve the reproducibility of research. It would also enhance natural language processing applications that depend on consistent reference assembly names in genomic literature, promoting greater integration and automated analysis of genomic data. This is a good time to consider more consistent genomic data nomenclature as many research communities and data resources are now finding themselves juggling multiple datasets from multiple data providers.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TAT-1, a phosphatidylserine flippase, affects molting and regulates membrane trafficking in the epidermis of Caenorhabditis elegans.","authors":"Shae M Milne, Philip T Edeen, David S Fay","doi":"10.1093/genetics/iyae216","DOIUrl":"10.1093/genetics/iyae216","url":null,"abstract":"<p><p>Membrane trafficking is a conserved process required for the import, export, movement, and distribution of proteins and other macromolecules within cells. The Caenorhabditis elegans NIMA-related kinases NEKL-2 (human NEK8/9) and NEKL-3 (human NEK6/7) are conserved regulators of membrane trafficking and are required for the completion of molting. Using a genetic approach, we identified reduction-of-function mutations in tat-1 that suppress nekl-associated molting defects. tat-1 encodes the C. elegans ortholog of mammalian ATP8A1/2, a phosphatidylserine flippase that promotes the asymmetric distribution of phosphatidylserine on the cytosolic leaflet of lipid membrane bilayers. CHAT-1 (human CDC50), a conserved chaperone, was required for the correct localization of TAT-1, and chat-1 inhibition strongly suppressed nekl defects. Using a phosphatidylserine sensor, we found that TAT-1 was required for the normal localization of phosphatidylserine at apical endosomes and that loss of TAT-1 led to aberrant endosomal morphologies. Consistent with these data, TAT-1 localized to early endosomes and to recycling endosomes marked with RME-1, the C. elegans ortholog of the human EPS15 homology domain-containing protein, EHD1. TAT-1, phosphatidylserine biosynthesis, and the phosphatidylserine-binding protein RFIP-2 (human RAB11-FIP2) were all required for the normal localization of RME-1 to apical endosomes. Consistent with these proteins functioning together, inhibition of RFIP-2 or RME-1 led to the partial suppression of nekl molting defects, as did inhibition of phosphatidylserine biosynthesis. We propose that TAT-1 flippase activity, in conjunction with RFIP-2, promotes the recruitment of RME-1 to apical recycling endosomes and that inhibition of TAT-1-RFIP-2-RME-1 can compensate for a reduction in NEKL activities.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the predictors of mutability among healthy human tissues inferred from mutations in single-cell genome data.","authors":"Madeleine Oman, Rob W Ness","doi":"10.1093/genetics/iyae215","DOIUrl":"10.1093/genetics/iyae215","url":null,"abstract":"<p><p>Studying mutation in healthy somatic tissues is the key for understanding the genesis of cancer and other genetic diseases. Mutation rate varies from site to site in the human genome by up to 100-fold and is influenced by numerous epigenetic and genetic factors including GC content, trinucleotide sequence context, and DNAse accessibility. These factors influence mutation at both local and regional scales and are often interrelated with one another, meaning that predicting mutability or uncovering its drivers requires modelling multiple factors and scales simultaneously. Historically, most investigations have focused either on analyzing the local sequence scale through triplet signatures or on examining the impact of epigenetic processes at larger scales, but not both concurrently. Additionally, sequencing technology limitations have restricted analyses of healthy mutations to coding regions (RNA-seq) or to those that have been influenced by selection (e.g. bulk samples from cancer tissue). Here, we leverage single-cell mutations and present a comprehensive analysis of epigenetic and genetic factors at multiple scales in the germline and 3 healthy somatic tissues. We create models that predict mutability with on average 2% error and find up to 63-fold variation among sites within the same tissue. We observe varying degrees of similarity between tissues: the mutability of genomic positions was 93.4% similar between liver and germline tissues, but sites in germline and skin were only 85.9% similar. We observe both universal and tissue-specific mutagenic processes in healthy tissues, with implications for understanding the maintenance of germline vs soma and the mechanisms underlying early tumorigenesis.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SpudDB: a database for accessing potato genomic data.","authors":"John P Hamilton, Julia Brose, C Robin Buell","doi":"10.1093/genetics/iyae205","DOIUrl":"10.1093/genetics/iyae205","url":null,"abstract":"<p><p>Potato is a key food crop with a complex, polyploid genome. Advancements in sequencing technologies coupled with improvements in genome assembly algorithms have enabled generation of phased, chromosome-scale genome assemblies for cultivated tetraploid potato. The SpudDB database houses potato genome sequence and annotation, with the doubled monoploid DM 1-3 516 R44 (hereafter DM) genome serving as the reference genome and haplotype. Diverse annotation data types for DM genes are provided through a suite of Gene Report Pages including gene expression profiles across 438 potato samples. To further annotate potato genes based on expression, 65 gene co-expression modules were constructed that permit the identification of tightly co-regulated genes within DM across development and responses to wounding, abiotic stress, and biotic stress. Genome browser views of DM and 28 other potato genomes are provided along with a download page for genome sequence and annotation. To link syntenic genes within and between haplotypes, syntelogs were identified across 25 cultivated potato genomes. Through access to potato genome sequences and associated annotations, SpudDB can enable potato biologists, geneticists, and breeders to continue to improve this key food crop.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912843/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Allele ages provide limited information about the strength of negative selection.","authors":"Vivaswat Shastry, Jeremy J Berg","doi":"10.1093/genetics/iyae211","DOIUrl":"10.1093/genetics/iyae211","url":null,"abstract":"<p><p>For many problems in population genetics, it is useful to characterize the distribution of fitness effects (DFE) of de novo mutations among a certain class of sites. A DFE is typically estimated by fitting an observed site frequency spectrum (SFS) to an expected SFS given a hypothesized distribution of selection coefficients and demographic history. The development of tools to infer gene trees from haplotype alignments, along with ancient DNA resources, provides us with additional information about the frequency trajectories of segregating mutations. Here, we ask how useful this additional information is for learning about the DFE, using the joint distribution on allele frequency and age to summarize information about the trajectory. To this end, we introduce an accurate and efficient numerical method for computing the density on the age of a segregating variant found at a given sample frequency, given the strength of selection and an arbitrarily complex population size history. We then use this framework to show that the unconditional age distribution of negatively selected alleles is very closely approximated by reweighting the neutral age distribution in terms of the negatively selected SFS, suggesting that allele ages provide little information about the DFE beyond that already contained in the present day frequency. To confirm this prediction, we extended the standard Poisson random field method to incorporate the joint distribution of frequency and age in estimating selection coefficients, and test its performance using simulations. We find that when the full SFS is observed and the true allele ages are known, including ages in the estimation provides only small increases in the accuracy of estimated selection coefficients. However, if only sites with frequencies above a certain threshold are observed, then the true ages can provide substantial information about the selection coefficients, especially when the selection coefficient is large. When ages are estimated from haplotype data using state-of-the-art tools, uncertainty about the age abrogates most of the additional information in the fully observed SFS case, while the neutral prior assumed in these tools when estimating ages induces a downward bias in the case of the thresholded SFS.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912868/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chaperone dysfunction in motor neuron disease: new insights from studies of the SMN complex.","authors":"A Gregory Matera","doi":"10.1093/genetics/iyae223","DOIUrl":"10.1093/genetics/iyae223","url":null,"abstract":"<p><p>Spinal muscular atrophy and amyotrophic lateral sclerosis are devastating neurodegenerative diseases characterized by motor neuron loss. Although these 2 disorders have distinct genetic origins, recent studies suggest that they share common etiological mechanisms rooted in proteostatic dysfunction. At the heart of this emerging understanding is the survival motor neuron (SMN) complex.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The TRIM-NHL RNA-binding protein MEI-P26 modulates the size of Drosophila Type I neuroblast lineages.","authors":"Yichao Hu, Xiaohang Yang, Howard D Lipshitz","doi":"10.1093/genetics/iyaf015","DOIUrl":"10.1093/genetics/iyaf015","url":null,"abstract":"<p><p>The Drosophila TRIM-NHL RNA-binding protein (RBP), MEI-P26, has previously been shown to suppress tumor formation in the germline. Here we show that, in the Drosophila larval central brain, cell-type-specific expression of MEI-P26 plays a vital role in regulating neural development. MEI-P26 and another TRIM-NHL RBP, Brain tumor (BRAT), have distinct expression patterns in Type I neuroblast (NB) lineages: While both proteins are expressed in NBs, BRAT is expressed in ganglion mother cells (GMCs) but not neurons, whereas MEI-P26 is expressed in neurons but not GMCs. Knockdown of MEI-P26 leads to re-expression of the stem cell marker Deadpan (DPN) and over-production of neurons. In contrast, ectopically expressed MEI-P26 reduces NB lineage size by repressing division of GMCs, resulting in reduced neuron production. We show that MEI-P26 positively regulates expression of Prospero (PROS), a transcription factor that is known to repress cell cycle-related genes. Ectopic expression of PROS phenocopies ectopic expression of MEI-P26. In both cases, Cyclin B (CYCB) expression is downregulated. Importantly, knockdown of PROS in the context of ectopic MEI-P26 rescues the neural lineage. Based on these results, we conclude that MEI-P26 functions to prevent over-production of neurons by promoting production of PROS which, in turn, downregulates cell division.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143034684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Msh2-Msh3 DNA-binding is not sufficient to promote trinucleotide repeat expansions in Saccharomyces cerevisiae.","authors":"Katherine M Casazza, Gregory M Williams, Lauren Johengen, Gavin Twoey, Jennifer A Surtees","doi":"10.1093/genetics/iyae222","DOIUrl":"10.1093/genetics/iyae222","url":null,"abstract":"<p><p>Mismatch repair (MMR) is a highly conserved DNA repair pathway that recognizes mispairs that occur spontaneously during DNA replication and coordinates their repair. In Saccharomyces cerevisiae, Msh2-Msh3 and Msh2-Msh6 initiate MMR by recognizing and binding insertion or deletion (in/del) loops up to ∼17 nucleotides (nt.) and base-base mispairs, respectively; the 2 complexes have overlapping specificity for small (1-2 nt.) in/dels. The DNA-binding specificity for the 2 complexes resides in their respective mispair binding domains (MBDs) and has distinct DNA-binding modes. Msh2-Msh3 also plays a role in promoting CAG/CTG trinucleotide repeat (TNR) expansions, which underlie many neurodegenerative diseases such as Huntington's disease and myotonic dystrophy type 1. Models for Msh2-Msh3's role in promoting TNR tract expansion have invoked its specific DNA-binding activity and predict that the TNR structure alters its DNA binding and downstream activities to block repair. Using a chimeric Msh complex that replaces the MBD of Msh6 with the Msh3 MBD, we demonstrate that Msh2-Msh3 DNA-binding activity is not sufficient to promote TNR expansions. We propose a model for Msh2-Msh3-mediated TNR expansions that requires a fully functional Msh2-Msh3 including DNA binding, coordinated ATP binding, and hydrolysis activities and interactions with Mlh complexes that are analogous to those required for MMR.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912836/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}